
Estimating Uncertainty Online Against an Adversary
Author(s) -
Volodymyr Kuleshov,
Stefano Ermon
Publication year - 2017
Publication title -
proceedings of the ... aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v31i1.10949
Subject(s) - adversarial system , adversary , computer science , reliability (semiconductor) , extension (predicate logic) , machine learning , uncertainty quantification , data mining , outcome (game theory) , artificial intelligence , mathematics , computer security , power (physics) , physics , mathematical economics , quantum mechanics , programming language